As the availability of unique IPs and user agents wanes and cookie reliability remains half-baked at best, device fingerprinting has emerged as a serious contender in the battle against online fraud and abuse.
Introduction With the rise of online tracking, proxy and VPN services have become a popular way to protect people'
Castle is a real-time rules engine designed to manage fraud and risk across all touchpoints, including onboarding, login, payment, and
Learn about two layers in user and account defense, and how deploying Castle gives you a single solution that improves security and reduces user friction.
This post covers strategies for adding Castle's layer of bot detection and ATO prevention to your OIDC authentication flow, getting the best of both worlds. This is relevant for apps using an external identity provider, like Okta, Auth0, Amazon Cognito, Google, or Facebook.
In this post, we'll take a look at three types of bot-generated mouse interactions and we'll discuss how these can be automatically detected. See if you can pick out the bot mouse movements from the human ones!
We're excited to work with Cloudflare on a codeless way for companies to protect their online accounts and make it easier to implement strong security.
You need to know what’s going on inside and outside your applications to protect against Account Takeover. Here are the 4 stages of ATOs you need to know.
In 2015, Sebastian and I created Castle with a simple vision. We saw that it was increasingly difficult for companies
To actually prevent Account Takeovers you have to threat ATOs as a security threat not fraud.
DDoS prevention, bot prevention, and WAFs were never built for protecting users from ATOs. Its time to combine that with user behavior analytics.
Account takeover attacks have evolved dramatically. One recurring theme we’ve seen is that gaps often emerge when the security program’s focus is misplaced.
